The Kain–Fritsch (KF) convective parameterization scheme (CPS) is based on the same fundamental closure assumption as the Fritsch–Chappell (FC) scheme, assuming that convective effects remove convective available potential energy in a grid element over an advective time period. The KF scheme was developed to address limitations in the FC scheme, particularly in the representation of detrainment processes. The FC scheme assumes detrainment occurs over a limited vertical depth near cloud top, but diagnostic studies show that midlevel detrainment plays a significant role in mesoscale convective systems. The KF scheme improves this by implementing a new cloud model that more realistically distributes detrainment vertically, modulating the two-way exchange of mass between cloud and environment based on buoyancy characteristics of clear and cloudy air. The KF scheme ensures conservation of mass, thermal energy, total moisture, and momentum, which is important for longer simulations and larger-scale models. The mathematical formulation of the convective parameterization expresses the heating tendency due to subgrid-scale convective processes as a function of latent heat release, entrainment, and detrainment. The scheme also includes expressions for specific humidity and liquid water detrainment, which supply moisture to the resolvable scale. Momentum transport in convective clouds is crudely simulated by assuming conservation of momentum. The KF scheme improves upon the FC scheme by better representing detrainment and ensuring conservation principles, making it more suitable for a wide range of applications.The Kain–Fritsch (KF) convective parameterization scheme (CPS) is based on the same fundamental closure assumption as the Fritsch–Chappell (FC) scheme, assuming that convective effects remove convective available potential energy in a grid element over an advective time period. The KF scheme was developed to address limitations in the FC scheme, particularly in the representation of detrainment processes. The FC scheme assumes detrainment occurs over a limited vertical depth near cloud top, but diagnostic studies show that midlevel detrainment plays a significant role in mesoscale convective systems. The KF scheme improves this by implementing a new cloud model that more realistically distributes detrainment vertically, modulating the two-way exchange of mass between cloud and environment based on buoyancy characteristics of clear and cloudy air. The KF scheme ensures conservation of mass, thermal energy, total moisture, and momentum, which is important for longer simulations and larger-scale models. The mathematical formulation of the convective parameterization expresses the heating tendency due to subgrid-scale convective processes as a function of latent heat release, entrainment, and detrainment. The scheme also includes expressions for specific humidity and liquid water detrainment, which supply moisture to the resolvable scale. Momentum transport in convective clouds is crudely simulated by assuming conservation of momentum. The KF scheme improves upon the FC scheme by better representing detrainment and ensuring conservation principles, making it more suitable for a wide range of applications.